Journal article : Comment
Generative AI entails a credit–blame asymmetry
- Abstract:
- Generative AI programs can produce high-quality written and visual content that may be used for good or ill. We argue that a credit–blame asymmetry arises for assigning responsibility for these outputs and discuss urgent ethical and policy implications focused on large-scale language models.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
- Publisher:
- Springer Nature
- Journal:
- Nature Machine Intelligence More from this journal
- Volume:
- 5
- Issue:
- 5
- Pages:
- 472-475
- Publication date:
- 2023-05-04
- Acceptance date:
- 2023-02-04
- DOI:
- EISSN:
-
2522-5839
- Language:
-
English
- Subtype:
-
Comment
- Pubs id:
-
1343480
- Local pid:
-
pubs:1343480
- Deposit date:
-
2025-02-17
Terms of use
- Copyright holder:
- Springer Nature Limited
- Copyright date:
- 2023
- Rights statement:
- © 2023, Springer Nature Limited
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